Rolls-royce Corporation

United States of America As Represented by the Secretary of the Air Force

Rolls-royce North American Technologies Inc.

Michael George Glavicic

Andrew J Ritchey

Jeffrey A Gilbert

Daniel E Molnar, Jr

Joseph Peter Henderkott

Kong Ma

Matthew Jordan

Michael G Meyer

John F Matlik

Maxwell Layman

Todd Wetherbee

Pamela A Kobryn

Weizhou Li

In general, various aspects of the techniques enable predictive modeling for forged components. A computing device comprising a memory and a processor may be configured to perform the techniques. The memory may store a trained machine learning model that associates training features extracted from data representative of a plurality of training forged components to a plurality of training model results. The memory may also store data representative of a target forged component. The processor may perform a geometrical analysis with respect to the data representative of the target forged component to extract target features, and apply the trained machine learning model to the target features to obtain predicted model results for the target forged component. The processor may also output the predicted model results.

Predictive modeling for forged components

Methods for forming a blade for a gas turbine engine include altering the crystallographic texture of the blade in a discrete region relative to the surrounding locations of the blade to minimize flutter and/or mistune the blade by changing the natural frequency response of at least one mode of the blade.

Tailored material property tuning for turbine engine fan blades

Systems and methods for secure collaboration of intellectual property are provided. By way of introductory example, a cloud environment may store a session descriptor indicative of an executable, an input parameter for the executable, and a target recipient. The cloud environment may receive a first and second authorization of the session descriptor from the respective proprietors of the input parameter and the executable. The cloud environment may verify, based on the first authorization and the second authorization, the session descriptor is authorized. The cloud environment may generate, in response to the session descriptor being authorized, a collaboration result based on the executable and the input parameter. The cloud environment may control access to the collaboration result based on the target recipient.

Secure cloud collaboration platform

A system may include a controller configured to cause a capacitance probe to subject a material to a first electric signal having a first frequency and determine a first capacitance of the material at the first frequency. The controller is configured to cause the capacitance probe to subject the material to a second electric signal at a second frequency and determine a second capacitance of the material at the second frequency. The material includes at least a first constituent phase and a second constituent phase. The first constituent phase and the second constituent phase have substantially similar dielectric constants at the first frequency and substantially different dielectric constants at the second frequency. The controller is further configured to determine a porosity of the material based on the first capacitance and determine a relative phase composition of the first constituent phase and the second constituent phase based on the second capacitance.

Material property capacitance sensor

The disclosure describes a method by a controller that includes: executing a model of a material based on a geometric template of the material defined by geometric parameters and at least one geometric constraint of the material; determining a value of an objective function based on differences between a three-dimensional representation of the material based on measurements of the material and the model of the material based on the geometric template of the material; and determining updated values of the geometric parameters of the geometric template. The method further includes iterating the executing the model of the material, the determining the value of the objective function, and the determining the updated values of the geometric parameters until a parameter associated with the objective function satisfies a criterion and, outputting the updated values of the geometric parameters associated with the objective function that satisfies the criterion.

Representation-based hybrid model

A system includes a focusing system, a radiation detector, and a controller. The focusing system is configured to receive an incident radiation beam from a radiation source and focus the incident radiation beam on a portion of a component of a high temperature mechanical system. The incident radiation beam scatters from the portion of the component as a diffracted radiation beam. The focusing system is further configured to focus the diffracted radiation beam from the portion of the component on the radiation detector. The radiation detector is configured to detect a diffraction pattern of the diffracted radiation beam from the portion of the component. The controller is configured to determine a temperature of the portion of the component based on the diffraction pattern.

Temperature determination using radiation diffraction

A technique and device () may be utilized to determine a characteristic of a crystallographic texture of a sample () based on a detected ultrasonic waveform. The device may be configured to receive ultrasonic waveform data representative of a reflected ultrasonic waveform that propagated through a sample from an ultrasonic detector (). The device may select a portion of the ultrasonic waveform data and apply a Fast Fourier Transform to the portion of the ultrasonic waveform data to transform the portion from a time domain to a frequency domain. The device then may identify a dominant frequency () of the portion in the frequency domain and determine a characteristic of a crystallographic texture for the portion based on the dominant frequency of the portion.

Ultrasonic measurement and determination of crystallographic texture with respect to position

A method includes heating an initial titanium alloy comprising a duplex microstructure at a first solution temperature that is below a phase transition temperature of the alloy. Substantially all secondary alpha phase domains may dissolve during the heating. The method also includes cooling the initial titanium alloy at a first cooling rate to form a recrystallized annealed titanium alloy comprising primary alpha phase domains. The method further includes heating the recrystallized annealed titanium alloy to a second solution temperature that is below the phase transition temperature of the alloy. The method additionally includes cooling the recrystallized annealed titanium alloy at a second cooling rate to form a treated titanium alloy comprising the duplex microstructure. The second cooling rate is different than the first cooling rate. A distribution of crystallographic orientations of primary alpha phase domains in the treated titanium alloy may be different than in the initial titanium alloy.

Reducing microtexture in titanium alloys

A method includes obtaining an image of a feature machined in a component with an imaging device, determining, by a computing device, a quality of the feature in the component based on the image of the feature, and storing, by the computing device, an indication of the quality of the feature in combination with a unique identifier for the feature in a non-transitory computer-readable medium.

Inspection of machined holes

A system may include a data analysis device that is configured to receive from an ultrasonic waveform detector ultrasonic waveform data representative of an ultrasonic waveform that propagated through a sample and resonated within a defect within the sample. The data analysis device may be further configured to select a portion of the ultrasonic waveform data, apply a Fast Fourier Transform to the portion of the ultrasonic waveform data to transform the portion from a time domain to a frequency domain, identify a characteristic frequency of the portion in the frequency domain, and determine a characteristic of the defect based on the characteristic frequency of the portion. In some examples, the characteristic of the defect may be at least one of an approximate size or an approximate shape of the defect.

Detection and measurement of defect size and shape using ultrasonic fourier-transformed waveforms

A device for measuring crystal orientation with an x-ray source using the Laue method and includes an apparatus for mapping a polycrystalline surface having a grain orientation. The apparatus including an x-ray source creating an x-ray beam, the beam having polychromatic photons, the beam collimated to a point on the polycrystalline surface. A two-dimensional x-ray detector with an aperture, the x-ray beam passing through the aperture, the detector detecting and collecting polychromatic photons diffracted from the polycrystalline surface and onto the detector. A means for moving the polycrystalline surface with respect to the x-ray source to collect a plurality of diffracted x-rays which define a Laue pattern. A data processing means to collect Laue patterns of the polycrystalline surface based upon the plurality of diffracted x-rays, the Laue patterns identifying a plurality of crystallographic orientations and a plurality of grain surface areas on the polycrystalline surface.

Growing community of inventors

Indianapolis, IN, United States of America

Michael George Glavicic